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科技导报 |研究论文 2017 , 35 (18) : 58 -63
快速运动物体的分布式多天线阅读器定位系统
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崔英花
作者信息
    北京信息科技大学信息与通信工程学院, 北京 100101
作者简介:
崔英花,副教授,研究方向为射频识别,电子信箱:cui_ying_hua@sina.com
Distributed multiple antenna reader positioning system for fast moving objects
  • CUI Yinghua
  • Affiliations
      Information and Communication Engineering Institute, Beijing Information Science & Technology University, Beijing 100101, China
    出版时间: 2017-09-28 doi: 10.3981/j.issn.1000-7857.2017.18.007
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    射频识别技术被广泛应用到室内定位领域。现有的利用射频识别技术的定位系统有很多缺陷,在定位精度、效率、可靠性、成本等方面存在诸多问题。分布式多天线阵列阅读器定位系统可根据各接收天线检测的信号强度、相位差等信息实现快速精确定位。引入本地标识概念可简化标签识别过程,以实现对目标标签的高速识别定位,满足对快速运动物体识别的支持。与传统定位方法相比,引入本地标识的多天线阵列阅读器定位系统在定位速度、定位精度和抗干扰能力上都具有突出的优势。
    射频识别  /  多天线阅读器  /  分布式  /  快速运动物体识别  /  定位系统
    In recent years, the RFID is widely used in indoor positioning fields. The existing positioning systems using the RFID technology have some problems in the aspects of the location accuracy, the efficiency, the reliability, the cost and others. A distributed multiple antenna array reader positioning system can achieve a fast and accurate positioning according to the signal intensity and the phase difference detected by receiving antennas. The local identification code can simplify the identification process and achieve a high-speed identification of target tags and meet the requirements of the fast moving object positioning. Compared with the traditional positioning method, the proposed algorithm has prominent advantages in the positioning speed, the positioning accuracy and the anti-interference ability.
    radio frequency identification  /  multiple antenna reader  /  distributed  /  fast-moving object identification  /  positioning system
    崔英花. 快速运动物体的分布式多天线阅读器定位系统. 科技导报, 2017 , 35 (18) : 58 -63 . DOI: 10.3981/j.issn.1000-7857.2017.18.007
    CUI Yinghua. Distributed multiple antenna reader positioning system for fast moving objects[J]. Science & Technology Review, 2017 , 35 (18) : 58 -63 . DOI: 10.3981/j.issn.1000-7857.2017.18.007

      国家自然科学基金项目(61340005);北京市自然科学基金项目(4132012);北京市教委科技发展计划项目(KM201411232011);北京市优秀人才培养资助D类项目(5211524100)

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    doi: 10.3981/j.issn.1000-7857.2017.18.007
    • 接收时间:2017-07-31
    • 首发时间:2017-09-25
    • 出版时间:2017-09-28
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    小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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